Staff Analyst Visa Sponsorship Jobs in New York
Staff analyst visa sponsorship jobs in New York are concentrated in financial services, consulting, and government sectors, with major employers across Manhattan, Albany, and Long Island. Firms like JPMorgan Chase, Deloitte, and McKinsey regularly file for specialty occupation visas for analyst roles requiring quantitative or technical degrees.
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Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.
As part of our commitment to preventing fraud across all consumer lending products, we are expanding our Fraud Policy team, which utilizes cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers. As a Staff Fraud and Risk Analyst, you will collaborate with Risk Operations, Data Science, Product, Engineering and Compliance teams to design and implement fraud mitigation risk strategies. If you're passionate about solving real customer problems through decision science and analytics, we welcome you to join our talented team.
Responsibilities
This role will involve developing fraud risk policies for our innovative consumer lending and banking products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.
- Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans
- Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance
- Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem
- Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses
- Test into and recommend 3rd party data providers to solve individual stolen identity, ATO and other types of exposure risk
- Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies
- Must have good judgement with the ability to think creatively and strategically
Qualifications
- Strong business acumen and exceptional analytical ability, with 5+ years of relevant experience and bachelor's degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience.
- Preferred experience with Fintech, Payments, NeoBanking or consumer lending fraud space.
- Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks
- Demonstrated experience in designing experiments and using data-driven insights to solve business problems.
- Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools. Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred.
- Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build consensus for plans of action.
- You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity.
- Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
- New York $168,500 - $228,000
Overview
Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.
As part of our commitment to preventing fraud across all consumer lending products, we are expanding our Fraud Policy team, which utilizes cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers. As a Staff Fraud and Risk Analyst, you will collaborate with Risk Operations, Data Science, Product, Engineering and Compliance teams to design and implement fraud mitigation risk strategies. If you're passionate about solving real customer problems through decision science and analytics, we welcome you to join our talented team.
Responsibilities
This role will involve developing fraud risk policies for our innovative consumer lending and banking products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.
- Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans
- Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance
- Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem
- Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses
- Test into and recommend 3rd party data providers to solve individual stolen identity, ATO and other types of exposure risk
- Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies
- Must have good judgement with the ability to think creatively and strategically
Qualifications
- Strong business acumen and exceptional analytical ability, with 5+ years of relevant experience and bachelor's degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience.
- Preferred experience with Fintech, Payments, NeoBanking or consumer lending fraud space.
- Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks
- Demonstrated experience in designing experiments and using data-driven insights to solve business problems.
- Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools. Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred.
- Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build consensus for plans of action.
- You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity.
- Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
- New York $168,500 - $228,000
Staff Analyst Job Roles in New York
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Search Staff Analyst Jobs in New YorkStaff Analyst Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for staff analysts in New York?
Financial institutions such as JPMorgan Chase, Citigroup, and Goldman Sachs are among the most active H-1B visa sponsors for staff analyst roles in New York. Management consulting firms including Deloitte, McKinsey, and Accenture also file regularly for these positions. State agencies and large healthcare systems like NYC Health and Hospitals have sponsored analysts in operational and policy-focused roles as well.
What visa types realistically fit staff analyst roles in New York?
Staff analyst roles in New York typically qualify as specialty occupations under the H-1B, requiring at least a bachelor's degree in a directly related field such as statistics, computer science, economics, or business analytics. Australian nationals may qualify for the E-3 visa, which follows the same specialty occupation standard without a lottery. Chilean and Singaporean nationals can explore the H-1B1 visa. For longer-term paths, employer-sponsored EB-2 or EB-3 green cards are common for analysts with established track records.
How to find staff analyst visa sponsorship jobs in New York?
Migrate Mate lists New York employers with verified sponsorship history for staff analyst roles, so you can focus on companies already familiar with the H-1B and E-3 filing process. Filtering by role and city lets you target Manhattan financial firms, Albany government contractors, or Long Island consulting offices specifically. Migrate Mate's database draws on DOL Labor Condition Application filing data, showing which employers have sponsored comparable positions.
Which cities in New York have the most staff analyst sponsorship jobs?
Manhattan accounts for the largest share of staff analyst sponsorship activity in New York, driven by its concentration of investment banks, consulting firms, and corporate headquarters. Albany is a secondary hub for government and policy analyst roles, particularly with state agencies and public-sector contractors. Buffalo and Rochester have smaller but active markets tied to healthcare systems and regional financial services firms.
Are there state-specific factors that affect staff analyst visa sponsorship in New York?
New York's density of financial services and consulting employers means many firms have established immigration programs and in-house counsel experienced with H-1B filings, which can simplify the process for candidates. University pipelines from Columbia, NYU, and Cornell supply a steady stream of F-1 students who transition through OPT and STEM OPT into sponsored roles. Analysts with STEM-designated degrees in fields like applied mathematics or data science may be eligible for a 24-month STEM OPT extension before needing employer-sponsored H-1B status.
What is the prevailing wage for sponsored staff analyst jobs in New York?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.